Infectious Disease

Bacterial Infection

Latest AI and machine learning research in bacterial infection for healthcare professionals.

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Generative design and construction of functional plasmids with a DNA language model

DNA language models offer a new paradigm for sequence design, yet their ability to generate function...

Substrate-enhanced filamentation of 3-methylcrotonyl-CoA carboxylase in Legionella pneumophila

3-Methylcrotonyl-CoA carboxylase (MCC) is a biotin-dependent carboxylase that metabolizes the amino ...

A META-ANALYSIS OF GUT MICROBIOME RESEARCH IN MALNOURISHED AFRICAN POPULATIONS: A NATURAL LANGUAGE PROCESSING APPROACH

Malnutrition still affects millions of children in Africa. Changes in the gut microbiome have been i...

Hierarchical Machine Learning Uncovers Topological Signatures of Autophagy Regulation by Oral Bacteria in Oral Squamous Cell Carcinoma

Oral squamous cell carcinoma (OSCC) progression has been increasingly linked to dysbiosis of the ora...

Quantitative profiling of millions of nucleotides reveals sequence-encoded interactions that govern plasmid propagation

Plasmids are central to modern biotechnology, especially therapeutic development, yet their propagat...

Designing minimal E. coli genomes using variational autoencoders

Designing minimal bacterial genomes remains a key challenge in synthetic biology. There is currently...

A foundation model for microbial growth dynamics

Microbial growth dynamics contain rich information about microbial populations, which support applic...

Fast and accurate taxonomic domain assignment of short metagenomic reads using BBERT

Metagenomes from complex environments such as soil contain vast biodiversity, yet most short reads c...

A Reinforcement Learning Approach for Modeling Organic Compound-Induced Antimicrobial Resistance Dynamics

This study investigates the use of reinforcement learning (RL) to model antimicrobial resistance (AM...

The FERM Guild: A Differentially Correlated Microbial Module Drives Hypertension via Metabolic Flux Perturbations

Hypertension is a major risk factor for cardiovascular diseases, with changes in gut microbiota comp...

Bioactivity-Driven Prediction of Antibacterial Synergy Using Machine Learning Models

Predicting antibacterial drug synergy remains difficult due to strain variability and the limited sc...

MeLSI: Metric Learning for Statistical Inference in Microbiome Community Composition Analysis

Microbiome beta diversity analysis relies on distance-based methods including PERMANOVA combined wit...

PhaLP 2.0: extending the community-oriented phage lysin database with a SUBLYME pipeline for metagenomic discovery

As biology becomes increasingly data-driven, so too does the field of phage lysins, enzymes that deg...

A dataset of differentiable biologically-derived single neuron models

Biological neural networks contain diverse cell types with heterogeneous electrophysiological proper...

MARISMa: a routine MALDI-TOF MS dataset from 2018 to 2024 from Spain

Clinical microbiology laboratories play a crucial role in identifying pathogens, guiding antibiotic ...

Machine learning for estimating and comparing clinical rules for treating diarrheal illness with antibiotics

Acute diarrheal disease is one of the leading causes of death in children under age 5, disproportion...

A deep learning model for clinical outcome prediction using longitudinal inpatient electronic health records

Recent advances in deep learning show significant potential in analyzing continuous monitoring elect...

The impact of evaluation strategy on sepsis prediction model performance metrics in intensive care data

The prediction of the onset of sepsis, a life-threatening condition resulting from a dysregulated re...

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